Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5231  0.0024  0.0629  0.3247  0.0640  0.14
Anderszewski 2003   55  0.4350  0.0041  0.0838  0.2039  0.1334  0.16
Ashkenazy 1981   52  0.4447  0.0062  0.0564  0.0555  0.0567  0.05
Bacha 2000   56  0.4352  0.0048  0.0650  0.0625  0.3736  0.15
Badura 1965   54  0.4367  0.0059  0.0470  0.0452  0.0666  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   21  0.5019  0.0114  0.1410  0.5318  0.408  0.46
Blet 2003   8  0.5620  0.018  0.1216  0.447  0.527  0.48
Block 1995   69  0.3712  0.0155  0.0477  0.0452  0.0576  0.04
Blumental 1952   63  0.4121  0.0165  0.0567  0.0562  0.0477  0.04
Boshniakovich 1969   59  0.4354  0.0057  0.0479  0.0456  0.0578  0.04
Brailowsky 1960   32  0.4715  0.0119  0.0641  0.1925  0.3821  0.27
Bunin 1987   48  0.4544  0.0051  0.0554  0.0539  0.1550  0.09
Bunin 1987b   50  0.4468  0.0052  0.0648  0.0639  0.1648  0.10
Chiu 1999   3  0.605  0.023  0.272  0.704  0.691  0.69
Cohen 1997   72  0.3685  0.0074  0.0557  0.0530  0.2547  0.11
Cortot 1951   70  0.3771  0.0072  0.0476  0.0474  0.0480  0.04
Csalog 1996   64  0.4066  0.0042  0.0742  0.1427  0.3525  0.22
Czerny 1949   49  0.459  0.0160  0.0469  0.0473  0.0474  0.04
Czerny 1990   14  0.5318  0.0116  0.0813  0.4748  0.0731  0.18
Duchoud 2007   62  0.4279  0.0063  0.0653  0.0650  0.0657  0.06
Ezaki 2006   4  0.594  0.026  0.154  0.6518  0.444  0.53
Falvay 1989   18  0.5125  0.0020  0.0822  0.3731  0.3216  0.34
Farrell 1958   34  0.4736  0.0046  0.0473  0.0444  0.1153  0.07
Ferenczy 1958   45  0.4586  0.0054  0.0651  0.0625  0.3339  0.14
Fliere 1977   11  0.5416  0.0113  0.1211  0.5356  0.0533  0.16
Fou 1978   20  0.506  0.0215  0.1117  0.4437  0.2219  0.31
Francois 1956   36  0.4777  0.0045  0.0445  0.0946  0.0655  0.07
Friedman 1923   78  0.3122  0.0081  0.0472  0.0457  0.0581  0.04
Friedman 1923b   77  0.3153  0.0080  0.0474  0.0477  0.0479  0.04
Friedman 1930   74  0.3565  0.0069  0.0747  0.0760  0.0556  0.06
Garcia 2007   76  0.3280  0.0078  0.0561  0.0569  0.0475  0.04
Garcia 2007b   80  0.2988  0.0077  0.0481  0.0477  0.0389  0.03
Gierzod 1998   39  0.4651  0.0049  0.0471  0.0475  0.0386  0.03
Gornostaeva 1994   40  0.4628  0.0038  0.0736  0.2440  0.1627  0.20
Groot 1988   12  0.5441  0.0011  0.146  0.5919  0.436  0.50
Harasiewicz 1955   13  0.5314  0.0118  0.0624  0.3748  0.0735  0.16
Hatto 1993   42  0.4623  0.0036  0.1033  0.2543  0.1232  0.17
Hatto 1997   35  0.4772  0.0034  0.0830  0.2942  0.1130  0.18
Horowitz 1949   73  0.3557  0.0075  0.0475  0.0486  0.0383  0.03
Indjic 1988   38  0.4610  0.0135  0.1131  0.2842  0.1328  0.19
Kapell 1951   19  0.5117  0.0112  0.117  0.5832  0.289  0.40
Kissin 1993   46  0.4526  0.0058  0.0563  0.0557  0.0664  0.05
Kushner 1989   27  0.4887  0.0044  0.0544  0.1066  0.0554  0.07
Luisada 1991   10  0.5443  0.0021  0.1118  0.4335  0.3112  0.37
Lushtak 2004   2  0.602  0.112  0.185  0.638  0.553  0.59
Malcuzynski 1961   67  0.3824  0.0068  0.0746  0.0771  0.0462  0.05
Magaloff 1978   53  0.4449  0.0043  0.0643  0.1152  0.0552  0.07
Magin 1975   75  0.3473  0.0070  0.0652  0.0681  0.0371  0.04
Michalowski 1933   84  0.2478  0.0079  0.0478  0.0479  0.0384  0.03
Milkina 1970   37  0.4742  0.0033  0.0828  0.3440  0.1623  0.23
Mohovich 1999   6  0.5611  0.015  0.139  0.5724  0.455  0.51
Moravec 1969   60  0.4359  0.0067  0.0555  0.0557  0.0468  0.04
Morozova 2008   15  0.5340  0.0025  0.0721  0.3837  0.1722  0.25
Neighaus 1950   43  0.4570  0.0032  0.0839  0.2047  0.0745  0.12
Niedzielski 1931   71  0.3637  0.0073  0.0556  0.0577  0.0370  0.04
Ohlsson 1999   31  0.4846  0.0026  0.0720  0.3941  0.1324  0.23
Osinska 1989   28  0.4858  0.0037  0.0732  0.2862  0.0542  0.12
Pachmann 1927   66  0.4061  0.0064  0.0559  0.0521  0.3938  0.14
Paderewski 1930   79  0.3090  0.0076  0.0385  0.0350  0.0573  0.04
Perlemuter 1992   30  0.4848  0.0050  0.0558  0.0548  0.0660  0.05
Pierdomenico 2008   83  0.2762  0.0082  0.0482  0.0482  0.0382  0.03
Poblocka 1999   29  0.4863  0.0028  0.0823  0.3756  0.0537  0.14
Rabcewiczowa 1932   57  0.4329  0.0031  0.0826  0.3718  0.3813  0.37
Rachmaninoff 1923   51  0.4430  0.0061  0.0568  0.0570  0.0469  0.04
Rangell 2001   68  0.3881  0.0056  0.0566  0.0528  0.3044  0.12
Richter 1976   65  0.4075  0.0071  0.0484  0.0470  0.0472  0.04
Rosen 1989   47  0.4555  0.0039  0.0737  0.2459  0.0546  0.11
Rosenthal 1930   82  0.2769  0.0084  0.0480  0.0475  0.0387  0.03
Rosenthal 1931   85  0.2282  0.0086  0.0483  0.0470  0.0385  0.03
Rosenthal 1931b   87  0.1991  0.0087  0.0288  0.0268  0.0391  0.02
Rosenthal 1931c   86  0.2183  0.0085  0.0386  0.0381  0.0388  0.03
Rosenthal 1931d   88  0.1884  0.0088  0.0387  0.0388  0.0290  0.02
Rossi 2007   81  0.2774  0.0083  0.0565  0.0541  0.1351  0.08
Rubinstein 1939   61  0.4260  0.0066  0.0562  0.0529  0.2843  0.12
Rubinstein 1952   23  0.4945  0.0023  0.0727  0.3422  0.4114  0.37
Rubinstein 1966   5  0.597  0.024  0.253  0.687  0.662  0.67
Schilhawsky 1960   33  0.4738  0.0027  0.0640  0.1955  0.0549  0.10
Shebanova 2002   22  0.5056  0.0029  0.1125  0.3744  0.1029  0.19
Smith 1975   17  0.5213  0.0122  0.0814  0.4732  0.2517  0.34
Sokolov 2002   58  0.4339  0.0053  0.0649  0.0656  0.0561  0.05
Sztompka 1959   44  0.4533  0.0047  0.0560  0.0557  0.0663  0.05
Tomsic 1995   41  0.4635  0.0040  0.0835  0.2524  0.3120  0.28
Uninsky 1932   26  0.4932  0.0030  0.0734  0.2551  0.0741  0.13
Uninsky 1971   25  0.498  0.0217  0.1015  0.4534  0.2418  0.33
Wasowski 1980   24  0.493  0.037  0.1119  0.4122  0.3215  0.36
Zak 1937   9  0.5634  0.0010  0.1212  0.5131  0.3011  0.39
Zak 1951   7  0.5664  0.009  0.128  0.5731  0.2810  0.40
Average   1  0.641  0.571  0.561  0.8061  0.0526  0.20
Random 1   90  0.0076  0.0091  0.0191  0.0111  0.3758  0.06
Random 2   89  0.0027  0.0089  0.0189  0.0127  0.2765  0.05
Random 3   91  -0.0489  0.0090  0.0190  0.0117  0.3659  0.06

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).